将Google Colab与Google Maps API结合使用，但可以'；t获取包含要提取的地址和电话号码详细信息的文件

第一次海报和初学者编码器在这里

我想提取一份给定地理位置的餐馆列表及其详细信息，包括电话号码。下面是我所能得到的，但我甚至不能从GoogleColab中提取CSV。关于如何让文件显示在我的文件中以便提取它，有什么建议吗

import pandas as pd, numpy as np
import requests
import json
import time
from google.colab import files
final_data = []

class GooglePlaces(object):
    def __init__(self, apiKey):
        super(GooglePlaces, self).__init__()
        self.apiKey = apiKey
    def search_places_by_coordinate(self, location, radius, types):
        endpoint_url = "https://maps.googleapis.com/maps/api/place/nearbysearch/json"
        places = []
        params = {
        'location': location,
        'radius': radius,
        'types': types,
        'key': self.apiKey
        }
        res = requests.get(endpoint_url, params = params)
        results =  json.loads(res.content)
        places.extend(results['results'])
        time.sleep(2)
        while "next_page_token" in results:
            params['pagetoken'] = results['next_page_token'],
            res = requests.get(endpoint_url, params = params)
            results = json.loads(res.content)
            places.extend(results['results'])
            time.sleep(2)
        return places

    def get_place_details(self, place_id, fields):
        endpoint_url = "https://maps.googleapis.com/maps/api/place/details/json"
        params = {
            'placeid': place_id,
            'fields': ",".join(fields),
            'key': self.apiKey
        }
        res = requests.get(endpoint_url, params = params)
        place_details =  json.loads(res.content)
        return place_details

if __name__ == '__main__':
    api = GooglePlaces("INSERT API KEY HERE")
    places = api.search_places_by_coordinate("43.7887075,-79.4464409", "100", "restaurant")
    fields = ['name', 'formatted_address', 'international_phone_number', 'website', 'rating', 'review']
    for place in places:
        details = api.get_place_details(place['place_id'], fields)
        try:
            website = details['result']['website']
        except KeyError:
            website = ""

        try:
            name = details['result']['name']
        except KeyError:
            name = ""

        try:
            address = details['result']['formatted_address']
        except KeyError:
            address = ""

        try:
            phone_number = details['result']['international_phone_number']
        except KeyError:
            phone_number = ""

        try:
            reviews = details['result']['reviews']
        except KeyError:
            reviews = []
        print("===================PLACE===================")
        print("Name:", name)
        print("Website:", website)
        print("Address:", address)
        print("Phone Number", phone_number)
        print("==================REVIEWS==================")
        for review in reviews:
            author_name = review['author_name']
            rating = review['rating']
            text = review['text']
            time = review['relative_time_description']
            profile_photo = review['profile_photo_url']
            print("Author Name:", author_name)
            print("Rating:", rating)
            print("Text:", text)
            print("Time:", time)
            print("Profile photo:", profile_photo)
            print("-----------------------------------------")

        data = [name, website, address, phone_number]
        final_data.append(data)

        export_dataframe_1_medium = pd.DataFrame(final_data, columns=['Name','Website', 'Address', 'Phone Number'])
        export_dataframe_1_medium.to_csv('export_dataframe_1_medium.csv')

---

请提供尝试运行代码时返回的错误